Bolt.new AI and Docker integration: Step-by-Step Guide 2025

Bolt.new does not integrate with Docker directly or automatically. There is no “Bolt ↔ Docker connector.” The real integration pattern is: you use Bolt.new to develop, prototype, and generate the code for your full‑stack app, and then you run that generated code inside Docker the same way you would containerize any Node.js or Python project. Bolt stays in the browser; Docker runs locally or on your server. The connection between them is simply: Bolt produces code → you download/export it → you put it into a Docker image.

The practical approach is: 1) build or scaffold the app in Bolt.new, 2) download the code bundle, 3) write a Dockerfile around it, 4) build + run the container normally. That’s the full integration.

 

What “Integrating Bolt.new with Docker” Really Means

 

There is no special Bolt-specific Docker feature. What you do is containerize the project that Bolt.new generates. Bolt is a workspace that gives you runnable Node.js or Python code. Docker is a tool that runs your code in isolated containers. So you combine them by taking Bolt’s output and wrapping it in a Dockerfile.

• Bolt.new runs your app in its own sandbox during development, not in Docker.
• Your production or staging environment uses Docker to run the exact same code.
• The interface point is the source code — you export it from Bolt and containerize it.

 

Step-by-step: Move a Bolt Project Into Docker

 

This is the real-world workflow used by full‑stack teams:

• Inside Bolt.new, scaffold your backend (Node.js/Express, Python/FastAPI, etc.).
• Test the API/routes inside Bolt’s sandbox to confirm everything works.
• Download the project as a ZIP from Bolt.new.
• Unzip it locally and add a Dockerfile.
• Build a Docker image and run the container normally.

 

// Dockerfile for a Node.js project exported from Bolt.new

FROM node:20-alpine

WORKDIR /app

COPY package*.json ./
// Install only production dependencies if needed
RUN npm install --production

COPY . .

EXPOSE 3000

CMD ["npm", "start"]

 

// Build the Docker image
docker build -t my-bolt-app .

// Run the container
docker run -p 3000:3000 my-bolt-app

 

Environment Variables (Important)

 

Bolt.new stores secrets in its Environment Variables panel. When moving to Docker, you must re‑add those secrets using Docker’s env system.

• Using inline envs: docker run -e API\_KEY=123 ...
• Using a .env file: docker run --env-file .env ...
• Using orchestration (Docker Compose, Kubernetes) for more complex setups.

 

Using Docker Compose

 

If your Bolt-generated project needs a local database (Postgres, Redis, etc.), Bolt’s sandbox uses an internal dev database, but Docker needs the real service. Docker Compose is the right tool.

 

// docker-compose.yml running a Bolt-exported API + Postgres

services:
  api:
    build: .
    ports:
      - "3000:3000"
    environment:
      DATABASE_URL: postgres://postgres:password@db:5432/appdb
    depends_on:
      - db

  db:
    image: postgres:15
    environment:
      POSTGRES_PASSWORD: password
      POSTGRES_DB: appdb
    ports:
      - "5432:5432"

 

Key Things Developers Usually Miss

 

• Bolt’s internal dev server ≠ your Docker runtime. You must copy all env vars.
• File paths may differ. Docker’s working directory is whatever you set in WORKDIR.
• Ensure port exposure (EXPOSE + docker run -p).
• No Bolt APIs need to be “connected.” Docker just runs your exported code.

 

Summary

 

To integrate Bolt.new with Docker, you simply take the application Bolt generated, export it, and wrap it in a Dockerfile. Bolt does not run Docker nor provide special Docker integrations — it just gives you clean code you can containerize like any normal full‑stack project. The workflow is simple, real, and production‑ready.